Urbanization and increasing environmental challenges have increased the need for innovative solutions to adapt urban mobility to new and ever-changing needs while promoting sustainability. This thesis explores the integration of solar-powered charging stations into electric scooter rental networks as a dual strategy for reducing greenhouse gas emissions and improving the economic feasibility of micro-mobility services. Through a simulation-based approach using AnyLogic, this study evaluates various configurations of charging infrastructure, user incentive strategies, and optimization techniques to identify the most effective solutions. The analysis encompasses five experimental scenarios: baseline comparisons, optimal placement strategies using metaheuristics, scaling infrastructure to population density, determining the ideal number of charging docks, and evaluating the impact of user discounts.